Staff Data Scientist

About the Role As a Staff Data Scientist, you will architect and lead efficient solutions across key domains such as Recommendation, Search, Ads, and Discount Optimization. You will mentor cross-functional teams, review technical architectures and maintain a high standard for holistic solution design. Driving innovation, you will foster a culture of adopting (SOTA) models. Leveraging deep expertise in ML, DL and advancements like GenAI/LLMs, you will guide teams in acquiring new skills and integrating evolving paradigms into production systems. You will operate as a senior technical leader for the Food charter: shaping problem formulation, influencing product roadmaps, and ensuring our AI systems are robust, low-latency, and business-outcome driven What You’ll Do Own and drive the technical roadmap for AI systems across Search, Recommendations, Ads and Discounting, from problem framing to production rollout and post-launch iteration. Architect end-to-end ML/AI pipelines (data, models, orchestration, evaluation, monitoring) that meet strict constraints on latency, scale, cost and reliability. Evaluate and introduce SOTA techniques (retrieval/ranking, bandits/RL, causal uplift, GenAI/agents) in a pragmatic, production-ready manner. Partner with Product and Business to define success metrics, set up robust experimentation, and tie AI investments clearly to business KPIs and ROI. Provide architectural and design reviews for high-stakes ML systems across the Food charter; set and enforce engineering and MLOps best practices. Mentor and uplevel Senior/Lead Data Scientists and MLEs; act as a thought partner to leadership on build-vs-buy, platform strategy and multi-year bets. Represent Swiggy AI in internal and external forums (tech talks, blogs, publications, conferences) and help build the brand for Food AI. Skills & Experience Core Technical Skills Deep expertise in classical ML, representation learning and modern deep learning (e.g., transformers, two-tower/rec models,